Abraham P. Vinod
- Phone: 617-621-7535
- Email:
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Position:
Research / Technical Staff
Principal Research Scientist -
Education:
Ph.D., University of New Mexico Albuquerque, 2018 -
Research Areas:
Abraham's Quick Links
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Biography
Abraham's Ph.D. research developed scalable algorithms for providing safety guarantees for stochastic, control-constrained, dynamical systems. His research work has been applied in motion planning under uncertainty, spacecraft rendezvous planning, and human-automation interactions. His current research interests lie in the intersection of optimization, control, and learning. Abraham won the Best Student Paper Award at the 2017 ACM Hybrid Systems: Computation and Control Conference, was a finalist for the Best Paper Award in the 2018 ACM Hybrid Systems: Computation and Control Conference, and won the best undergraduate student research project award at the Indian Institute of Technology, Madras.
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Recent News & Events
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NEWS MERL researchers present 7 papers at CDC 2024 Date: December 16, 2024 - December 19, 2024
Where: Milan, Italy
MERL Contacts: Ankush Chakrabarty; Vedang M. Deshpande; Stefano Di Cairano; Abraham P. Vinod; Avishai Weiss; Gordon Wichern
Research Areas: Artificial Intelligence, Control, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, RoboticsBrief- MERL researchers presented 7 papers at the recently concluded Conference on Decision and Control (CDC) 2024 in Milan, Italy. The papers covered a wide range of topics including safety shielding for stochastic model predictive control, reinforcement learning using expert observations, physics-constrained meta learning for positioning, variational-Bayes Kalman filtering, Bayesian measurement masks for GNSS positioning, divert-feasible lunar landing, and centering and stochastic control using constrained zonotopes.
As a sponsor of the conference, MERL maintained a booth for open discussions with researchers and students, and hosted a special session to discuss highlights of MERL research and work philosophy.
In addition, Ankush Chakrabarty (Principal Research Scientist, Multiphysical Systems Team) was an invited speaker in the pre-conference Workshop on "Learning Dynamics From Data" where he gave a talk on few-shot meta-learning for black-box identification using data from similar systems.
- MERL researchers presented 7 papers at the recently concluded Conference on Decision and Control (CDC) 2024 in Milan, Italy. The papers covered a wide range of topics including safety shielding for stochastic model predictive control, reinforcement learning using expert observations, physics-constrained meta learning for positioning, variational-Bayes Kalman filtering, Bayesian measurement masks for GNSS positioning, divert-feasible lunar landing, and centering and stochastic control using constrained zonotopes.
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NEWS MERL researchers present 9 papers at ACC 2024 Date: July 10, 2024 - July 12, 2024
Where: Toronto, Canada
MERL Contacts: Ankush Chakrabarty; Vedang M. Deshpande; Stefano Di Cairano; Christopher R. Laughman; Arvind Raghunathan; Abraham P. Vinod; Yebin Wang; Avishai Weiss
Research Areas: Artificial Intelligence, Control, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, RoboticsBrief- MERL researchers presented 9 papers at the recently concluded American Control Conference (ACC) 2024 in Toronto, Canada. The papers covered a wide range of topics including data-driven spatial monitoring using heterogenous robots, aircraft approach management near airports, computation fluid dynamics-based motion planning for drones facing winds, trajectory planning for coordinated monitoring using a team of drones and a ground carrier vehicle, ensemble Kalman smoothing-based model predictive control for motion planning for autonomous vehicles, system identification for Lithium-ion batteries, physics-constrained deep Kalman filters for vapor compression systems, switched reference governors for constrained systems, and distributed road-map monitoring using onboard sensors.
As a sponsor of the conference, MERL maintained a booth for open discussions with researchers and students, and hosted a special session to discuss highlights of MERL research and work philosophy.
In addition, Abraham Vinod served as a panelist at the Student Networking Event at the conference. The student networking event provides an opportunity for all interested students to network with professionals working in industry, academia, and national laboratories during a structured event, and encourages their continued participation as the future leaders in the field.
- MERL researchers presented 9 papers at the recently concluded American Control Conference (ACC) 2024 in Toronto, Canada. The papers covered a wide range of topics including data-driven spatial monitoring using heterogenous robots, aircraft approach management near airports, computation fluid dynamics-based motion planning for drones facing winds, trajectory planning for coordinated monitoring using a team of drones and a ground carrier vehicle, ensemble Kalman smoothing-based model predictive control for motion planning for autonomous vehicles, system identification for Lithium-ion batteries, physics-constrained deep Kalman filters for vapor compression systems, switched reference governors for constrained systems, and distributed road-map monitoring using onboard sensors.
See All News & Events for Abraham -
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MERL Publications
- , "Projection-free computation of robust controllable sets with constrained zonotopes", Automatica, DOI: 10.1016/j.automatica.2025.112211, Vol. 175, pp. 112211, March 2025.BibTeX TR2025-023 PDF Video
- @article{Vinod2025mar,
- author = {Vinod, Abraham P. and Weiss, Avishai and Di Cairano, Stefano},
- title = {{Projection-free computation of robust controllable sets with constrained zonotopes}},
- journal = {Automatica},
- year = 2025,
- volume = 175,
- pages = 112211,
- month = mar,
- doi = {10.1016/j.automatica.2025.112211},
- issn = {0005-1098},
- url = {https://www.merl.com/publications/TR2025-023}
- }
- , "Decentralized, Safe, Multi-agent Motion Planning for Drones Under Uncertainty via Filtered Reinforcement Learning", IEEE Transactions on Control Systems Technology, DOI: 10.1109/TCST.2024.3433229, Vol. 32, No. 6, pp. 2492-2499, January 2025.BibTeX TR2024-136 PDF
- @article{Vinod2025jan,
- author = {Vinod, Abraham P. and Safaoui, Sleiman and Summers, Tyler and Yoshikawa, Nobuyuki and {Di Cairano}, Stefano},
- title = {{Decentralized, Safe, Multi-agent Motion Planning for Drones Under Uncertainty via Filtered Reinforcement Learning}},
- journal = {IEEE Transactions on Control Systems Technology},
- year = 2025,
- volume = 32,
- number = 6,
- pages = {2492--2499},
- month = jan,
- doi = {10.1109/TCST.2024.3433229},
- url = {https://www.merl.com/publications/TR2024-136}
- }
- , "Data-driven Spatial Classification using Multi-Arm Bandits for Monitoring with Energy-Constrained Mobile Robots", arXiv, January 2025.BibTeX arXiv
- @article{Lin2025jan,
- author = {Lin, Xiaoshan and Nayak, Siddharth and {Di Cairano}, Stefano and Vinod, Abraham P.},
- title = {{Data-driven Spatial Classification using Multi-Arm Bandits for Monitoring with Energy-Constrained Mobile Robots}},
- journal = {arXiv},
- year = 2025,
- month = jan,
- url = {https://arxiv.org/abs/2501.08222}
- }
- , "Meta-Learning for Physically-Constrained Neural System Identification", arXiv, January 2025.BibTeX arXiv
- @article{Chakrabarty2025jan,
- author = {Chakrabarty, Ankush and Wichern, Gordon and Deshpande, Vedang M. and Vinod, Abraham P. and Berntorp, Karl and Laughman, Christopher R.},
- title = {{Meta-Learning for Physically-Constrained Neural System Identification}},
- journal = {arXiv},
- year = 2025,
- month = jan,
- url = {https://arxiv.org/abs/2501.06167v1}
- }
- , "Continuous-Time Successive Convexification for Passively-Safe Six-Degree-of-Freedom Powered-Descent Guidance", AIAA SciTech, DOI: 10.2514/6.2025-1894, January 2025, pp. 1-13.BibTeX TR2025-008 PDF
- @inproceedings{Elango2025jan,
- author = {Elango, Purnanand and Vinod, Abraham P. and {Di Cairano}, Stefano and Weiss, Avishai},
- title = {{Continuous-Time Successive Convexification for Passively-Safe Six-Degree-of-Freedom Powered-Descent Guidance}},
- booktitle = {AIAA SCITECH 2025 Forum},
- year = 2025,
- pages = {1--13},
- month = jan,
- publisher = {AIAA},
- doi = {10.2514/6.2025-1894},
- url = {https://www.merl.com/publications/TR2025-008}
- }
- , "Projection-free computation of robust controllable sets with constrained zonotopes", Automatica, DOI: 10.1016/j.automatica.2025.112211, Vol. 175, pp. 112211, March 2025.
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Other Publications
- , "On-the-fly control of unknown smooth systems from limited data", 2021 American Control Conference (ACC), 2021, pp. 3656-3663.BibTeX
- @Inproceedings{djeumou2021fly,
- author = {Djeumou, Franck and Vinod, Abraham P and Goubault, Eric and Putot, Sylvie and Topcu, Ufuk},
- title = {On-the-fly control of unknown smooth systems from limited data},
- booktitle = {2021 American Control Conference (ACC)},
- year = 2021,
- pages = {3656--3663},
- organization = {IEEE}
- }
- , "Lagrangian approximations for stochastic reachability of a target tube", Automatica, Vol. 128, pp. 109546, 2021.BibTeX
- @Article{gleason2021lagrangian,
- author = {Gleason, Joseph D and Vinod, Abraham P and Oishi, Meeko MK},
- title = {Lagrangian approximations for stochastic reachability of a target tube},
- journal = {Automatica},
- year = 2021,
- volume = 128,
- pages = 109546,
- publisher = {Pergamon}
- }
- , "Stochastic multi-satellite maneuvering with constraints in an elliptical orbit", 2021 American Control Conference (ACC), 2021, pp. 4261-4268.BibTeX
- @Inproceedings{priore2021stochastic,
- author = {Priore, Shawn and Vinod, Abraham and Sivaramakrishnan, Vignesh and Petersen, Christopher and Oishi, Meeko},
- title = {Stochastic multi-satellite maneuvering with constraints in an elliptical orbit},
- booktitle = {2021 American Control Conference (ACC)},
- year = 2021,
- pages = {4261--4268},
- organization = {IEEE}
- }
- , "Physical-Layer Security via Distributed Beamforming in the Presence of Adversaries with Unknown Locations", ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 4685-4689.BibTeX
- @Inproceedings{savas2021physical,
- author = {Savas, Yagiz and Hashemi, Abolfazl and Vinod, Abraham P and Sadler, Brian M and Topcu, Ufuk},
- title = {Physical-Layer Security via Distributed Beamforming in the Presence of Adversaries with Unknown Locations},
- booktitle = {ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
- year = 2021,
- pages = {4685--4689},
- organization = {IEEE}
- }
- , "Probabilistic Occupancy via Forward Stochastic Reachability for Markov Jump Affine Systems", IEEE Transactions on Automatic Control, Vol. 66, No. 7, pp. 3068-3083, 2021.BibTeX
- @Article{vinod2020probabilistic,
- author = {Vinod, Abraham P. and Oishi, Meeko M. K.},
- title = {Probabilistic Occupancy via Forward Stochastic Reachability for Markov Jump Affine Systems},
- journal = {IEEE Transactions on Automatic Control},
- year = 2021,
- volume = 66,
- number = 7,
- pages = {3068--3083}
- }
- , "Sensor Selection for Dynamics-Driven User-Interface Design", IEEE Transactions on Control Systems Technology, 2021.BibTeX
- @Article{vinod2021sensor,
- author = {Vinod, Abraham P and Thorpe, Adam J and Olaniyi, Philip A and Summers, Tyler H and Oishi, Meeko MK},
- title = {Sensor Selection for Dynamics-Driven User-Interface Design},
- journal = {IEEE Transactions on Control Systems Technology},
- year = 2021,
- publisher = {IEEE}
- }
- , "Stochastic reachability of a target tube: Theory and computation", Automatica, Vol. 125, pp. 109458, 2021.BibTeX
- @Article{vinod2021stochastic,
- author = {Vinod, Abraham P and Oishi, Meeko MK},
- title = {Stochastic reachability of a target tube: Theory and computation},
- journal = {Automatica},
- year = 2021,
- volume = 125,
- pages = 109458,
- publisher = {Pergamon}
- }
- , "ARCH-COMP20 Category Report: Stochastic Models", EPiC Series in Computing, Vol. 74, pp. 76-106, 2020.BibTeX
- @Article{abate2020arch,
- author = {Abate, Alessandro and Blom, Henk and Cauchi, Nathalie and Delicaris, Joanna and Hartmanns, Arnd and Khaled, Mahmoud and Lavaei, Abolfazl and Pilch, Carina and Remke, Anne and Schupp, Stefan and others},
- title = {ARCH-COMP20 Category Report: Stochastic Models},
- journal = {EPiC Series in Computing},
- year = 2020,
- volume = 74,
- pages = {76--106},
- publisher = {EasyChair}
- }
- , "Near-Optimal Reactive Synthesis Incorporating Runtime Information", 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, pp. 10342-10348.BibTeX
- @Inproceedings{bharadwaj2020near,
- author = {Bharadwaj, Suda and Vinod, Abraham P and Dimitrova, Rayna and Topcu, Ufuk},
- title = {Near-Optimal Reactive Synthesis Incorporating Runtime Information},
- booktitle = {2020 IEEE International Conference on Robotics and Automation (ICRA)},
- year = 2020,
- pages = {10342--10348},
- organization = {IEEE}
- }
- , "Convexified contextual optimization for on-the-fly control of smooth systems", 2020 American Control Conference (ACC), 2020, pp. 2004-2011.BibTeX
- @Inproceedings{vinod2020convexified,
- author = {Vinod, Abraham P and Israel, Arie and Topcu, Ufuk},
- title = {Convexified contextual optimization for on-the-fly control of smooth systems},
- booktitle = {2020 American Control Conference (ACC)},
- year = 2020,
- pages = {2004--2011},
- organization = {IEEE}
- }
- , "ARCH-COMP19 Category Report: Stochastic Modelling.", ARCH@ CPSIoTWeek, 2019, pp. 62-102.BibTeX
- @Inproceedings{abate2019arch,
- author = {Abate, Alessandro and Blom, Henk and Cauchi, Nathalie and Degiorgio, Kurt and Fr{\"a}nzle, Martin and Hahn, Ernst Moritz and Haesaert, Sofie and Ma, Hao and Oishi, Meeko and Pilch, Carina and others},
- title = {ARCH-COMP19 Category Report: Stochastic Modelling.},
- booktitle = {ARCH@ CPSIoTWeek},
- year = 2019,
- pages = {62--102}
- }
- , "The Maximal Hitting-Time Stochastic Reachability Problem", 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, pp. 7266-7272.BibTeX
- @Inproceedings{gleason2019maximal,
- author = {Gleason, Joseph D and Vinod, Abraham P and Oishi, Meeko MK},
- title = {The Maximal Hitting-Time Stochastic Reachability Problem},
- booktitle = {2019 IEEE 58th Conference on Decision and Control (CDC)},
- year = 2019,
- pages = {7266--7272},
- organization = {IEEE}
- }
- , "Optimal Coverage Control and Stochastic Multi-Target Tracking", 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, pp. 2467-2472.BibTeX
- @Inproceedings{khaledyan2019optimal,
- author = {Khaledyan, Milad and Vinod, Abraham P and Oishi, Meeko and Richards, John A},
- title = {Optimal Coverage Control and Stochastic Multi-Target Tracking},
- booktitle = {2019 IEEE 58th Conference on Decision and Control (CDC)},
- year = 2019,
- pages = {2467--2472},
- organization = {IEEE}
- }
- , "Voronoi Partition-based Scenario Reduction for Fast Sampling-based Stochastic Reachability Computation of Linear Systems", 2019 American Control Conference (ACC), 2019, pp. 37-44.BibTeX
- @Inproceedings{sartipizadeh2019voronoi,
- author = {Sartipizadeh, Hossein and Vinod, Abraham P and A{\c{c}}ikme{\c{s}}e, Beh{\c{c}}et and Oishi, Meeko},
- title = {Voronoi Partition-based Scenario Reduction for Fast Sampling-based Stochastic Reachability Computation of Linear Systems},
- booktitle = {2019 American Control Conference (ACC)},
- year = 2019,
- pages = {37--44},
- organization = {IEEE}
- }
- , "Predicting Mode Confusion Through Mixed Integer Linear Programming", 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, pp. 2442-2448.BibTeX
- @Inproceedings{sivaramakrishnan2019predicting,
- author = {Sivaramakrishnan, Vignesh and Thapliyal, Omanshu and Vinod, Abraham and Oishi, Meeko and Hwang, Inseok},
- title = {Predicting Mode Confusion Through Mixed Integer Linear Programming},
- booktitle = {2019 IEEE 58th Conference on Decision and Control (CDC)},
- year = 2019,
- pages = {2442--2448},
- organization = {IEEE}
- }
- , "Affine controller synthesis for stochastic reachability via difference of convex programming", 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, pp. 7273-7280.BibTeX
- @Inproceedings{vinod2019affine,
- author = {Vinod, Abraham P and Oishi, Meeko MK},
- title = {Affine controller synthesis for stochastic reachability via difference of convex programming},
- booktitle = {2019 IEEE 58th Conference on Decision and Control (CDC)},
- year = 2019,
- pages = {7273--7280},
- organization = {IEEE}
- }
- , "Piecewise-Affine Approximation-Based Stochastic Optimal Control with Gaussian Joint Chance Constraints", 2019 American Control Conference (ACC), 2019, pp. 2942-2949.BibTeX
- @Inproceedings{vinod2019piecewise,
- author = {Vinod, Abraham P and Sivaramakrishnan, Vignesh and Oishi, Meeko MK},
- title = {Piecewise-Affine Approximation-Based Stochastic Optimal Control with Gaussian Joint Chance Constraints},
- booktitle = {2019 American Control Conference (ACC)},
- year = 2019,
- pages = {2942--2949},
- organization = {IEEE}
- }
- , "Sampling-free enforcement of non-gaussian chance constraints via fourier transforms", Proceedings of the Fifth International Workshop on Symbolic-Numeric methods for Reasoning about CPS and IoT, 2019, pp. 9-11.BibTeX
- @Inproceedings{vinod2019sampling,
- author = {Vinod, Abraham P and Sivaramakrishnan, Vignesh and Oishi, Meeko MK},
- title = {Sampling-free enforcement of non-gaussian chance constraints via fourier transforms},
- booktitle = {Proceedings of the Fifth International Workshop on Symbolic-Numeric methods for Reasoning about CPS and IoT},
- year = 2019,
- pages = {9--11},
- organization = {ACM}
- }
- , "SReachTools: a MATLAB stochastic reachability toolbox", Proceedings of the 22nd ACM International Conference on Hybrid Systems: Computation and Control, 2019, pp. 33-38.BibTeX
- @Inproceedings{vinod2019sreachtools,
- author = {Vinod, Abraham P and Gleason, Joseph D and Oishi, Meeko MK},
- title = {SReachTools: a MATLAB stochastic reachability toolbox},
- booktitle = {Proceedings of the 22nd ACM International Conference on Hybrid Systems: Computation and Control},
- year = 2019,
- pages = {33--38},
- organization = {ACM}
- }
- , "ARCH-COMP18 Category Report: Stochastic Modelling", ARCH18. 5th International Workshop on Applied Verification of Continuous and Hybrid Systems, ARCH@ ADHS 2018, Oxford, UK, July 13, 2018, 2018, pp. 71-103.BibTeX
- @Inproceedings{abate2018arch,
- author = {Abate, Alessandro and Blom, Henk and Cauchi, Nathalie and Haesaert, Sofie and Hartmanns, Arnd and Lesser, Kendra and Oishi, Meeko and Sivaramakrishnan, Vignesh and Soudjani, Sadegh and Vasile, Cristian-Ioan and others},
- title = {ARCH-COMP18 Category Report: Stochastic Modelling},
- booktitle = {ARCH18. 5th International Workshop on Applied Verification of Continuous and Hybrid Systems, ARCH@ ADHS 2018, Oxford, UK, July 13, 2018},
- year = 2018,
- pages = {71--103}
- }
- , "Multiple Pursuer-Based Intercept via Forward Stochastic Reachability", 2018 Annual American Control Conference (ACC), 2018, pp. 1559-1566.BibTeX
- @Inproceedings{vinod2018multiple,
- author = {Vinod, Abraham P and HomChaudhuri, Baisravan and Hintz, Christoph and Parikh, Anup and Buerger, Stephen P and Oishi, Meeko MK and Brunson, Greg and Ahmad, Shakeeb and Fierro, Rafael},
- title = {Multiple Pursuer-Based Intercept via Forward Stochastic Reachability},
- booktitle = {2018 Annual American Control Conference (ACC)},
- year = 2018,
- pages = {1559--1566},
- organization = {IEEE}
- }
- , "Optimal trade-off analysis for efficiency and safety in the spacecraft rendezvous and docking problem", IFAC-PapersOnLine, Vol. 51, No. 12, pp. 136-141, 2018.BibTeX
- @Article{vinod2018optimal,
- author = {Vinod, Abraham P and Oishi, Meeko MK},
- title = {Optimal trade-off analysis for efficiency and safety in the spacecraft rendezvous and docking problem},
- journal = {IFAC-PapersOnLine},
- year = 2018,
- volume = 51,
- number = 12,
- pages = {136--141},
- publisher = {Elsevier}
- }
- , "Scalable Underapproximative Verification of Stochastic LTI Systems using Convexity and Compactness", Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week), 2018, pp. 1-10.BibTeX
- @Inproceedings{vinod2018scalable,
- author = {Vinod, Abraham P and Oishi, Meeko MK},
- title = {Scalable Underapproximative Verification of Stochastic LTI Systems using Convexity and Compactness},
- booktitle = {Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week)},
- year = 2018,
- pages = {1--10},
- organization = {ACM}
- }
- , "Stochastic Motion Planning Using Successive Convexification and Probabilistic Occupancy Functions", 2018 IEEE Conference on Decision and Control (CDC), 2018, pp. 4425-4432.BibTeX
- @Inproceedings{vinod2018stochastic,
- author = {Vinod, Abraham P and Rice, Sean and Mao, Yuanqi and Oishi, Meeko MK and A{\c{c}}{\i}kme{\c{s}}e, Beh{\c{c}}et},
- title = {Stochastic Motion Planning Using Successive Convexification and Probabilistic Occupancy Functions},
- booktitle = {2018 IEEE Conference on Decision and Control (CDC)},
- year = 2018,
- pages = {4425--4432},
- organization = {IEEE}
- }
- , "Dynamic risk tolerance: Motion planning by balancing short-term and long-term stochastic dynamic predictions", 2017 IEEE International Conference on Robotics and Automation (ICRA), 2017, pp. 3762-3769.BibTeX
- @Inproceedings{chiang2017dynamic,
- author = {Chiang, Hao-Tien Lewis and HomChaudhuri, Baisravan and Vinod, Abraham P and Oishi, Meeko and Tapia, Lydia},
- title = {Dynamic risk tolerance: Motion planning by balancing short-term and long-term stochastic dynamic predictions},
- booktitle = {2017 IEEE International Conference on Robotics and Automation (ICRA)},
- year = 2017,
- pages = {3762--3769},
- organization = {IEEE}
- }
- , "Underapproximation of reach-avoid sets for discrete-time stochastic systems via Lagrangian methods", 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017, pp. 4283-4290.BibTeX
- @Inproceedings{gleason2017underapproximation,
- author = {Gleason, Joseph D and Vinod, Abraham P and Oishi, Meeko MK},
- title = {Underapproximation of reach-avoid sets for discrete-time stochastic systems via Lagrangian methods},
- booktitle = {2017 IEEE 56th Annual Conference on Decision and Control (CDC)},
- year = 2017,
- pages = {4283--4290},
- organization = {IEEE}
- }
- , "Computation of forward stochastic reach sets: Application to stochastic, dynamic obstacle avoidance", American Control Conference (ACC), 2017, 2017, pp. 4404-4411.BibTeX
- @Inproceedings{homchaudhuri2017computation,
- author = {HomChaudhuri, Baisravan and Vinod, Abraham P and Oishi, Meeko MK},
- title = {Computation of forward stochastic reach sets: Application to stochastic, dynamic obstacle avoidance},
- booktitle = {American Control Conference (ACC), 2017},
- year = 2017,
- pages = {4404--4411},
- organization = {IEEE}
- }
- , "Forward stochastic reachability analysis for uncontrolled linear systems using Fourier Transforms", Proceedings of the 20th International Conference on Hybrid Systems: Computation and Control, 2017, pp. 35-44.BibTeX
- @Inproceedings{vinod2017forward,
- author = {Vinod, Abraham P and Homchaudhuri, Baisravan and Oishi, Meeko MK},
- title = {Forward stochastic reachability analysis for uncontrolled linear systems using Fourier Transforms},
- booktitle = {Proceedings of the 20th International Conference on Hybrid Systems: Computation and Control},
- year = 2017,
- pages = {35--44},
- organization = {ACM}
- }
- , "Scalable Underapproximation for the Stochastic Reach-Avoid Problem for High-Dimensional LTI Systems Using Fourier Transforms", IEEE control systems letters, Vol. 1, No. 2, pp. 316-321, 2017.BibTeX
- @Article{vinod2017scalable,
- author = {Vinod, Abraham P and Oishi, Meeko MK},
- title = {Scalable Underapproximation for the Stochastic Reach-Avoid Problem for High-Dimensional LTI Systems Using Fourier Transforms},
- journal = {IEEE control systems letters},
- year = 2017,
- volume = 1,
- number = 2,
- pages = {316--321},
- publisher = {IEEE}
- }
- , "Viable set approximation for linear-Gaussian systems with unknown, bounded variance", 2016 IEEE 55th Conference on Decision and Control (CDC), 2016, pp. 7049-7055.BibTeX
- @Inproceedings{gleason2016viable,
- author = {Gleason, Joseph and Vinod, Abraham P and Oishi, Meeko MK and Erwin, R Scott},
- title = {Viable set approximation for linear-Gaussian systems with unknown, bounded variance},
- booktitle = {2016 IEEE 55th Conference on Decision and Control (CDC)},
- year = 2016,
- pages = {7049--7055},
- organization = {IEEE}
- }
- , "User-interface design for MIMO LTI human-automation systems through sensor placement", American Control Conference (ACC), 2016.BibTeX
- @Inproceedings{p2016user,
- author = {P. Vinod, Abraham and H. Summers, Tyler and Oishi, Meeko M. K.},
- title = {User-interface design for MIMO LTI human-automation systems through sensor placement},
- booktitle = {American Control Conference (ACC)},
- year = 2016,
- organization = {IEEE}
- }
- , "Validation of cognitive models for collaborative hybrid systems with discrete human input", 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016, pp. 3339-3346.BibTeX
- @Inproceedings{vinod2016validation,
- author = {Vinod, Abraham P and Tang, Yuqing and Oishi, Meeko MK and Sycara, Katia and Lebiere, Christian and Lewis, Michael},
- title = {Validation of cognitive models for collaborative hybrid systems with discrete human input},
- booktitle = {2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
- year = 2016,
- pages = {3339--3346},
- organization = {IEEE}
- }
- , "A Deterministic Attitude Estimation Using a Single Vector Information and Rate Gyros", IEEE/ASME Transactions on Mechatronics, Vol. 20, No. 5, pp. 1-7, 2015.BibTeX
- @Article{vinod2015deterministic,
- author = {Vinod, Abraham P. and Mahindrakar, Arun D. and Bandyopadhyay, Sandipan and Muralidharan, Vijay},
- title = {A Deterministic Attitude Estimation Using a Single Vector Information and Rate Gyros},
- journal = {IEEE/ASME Transactions on Mechatronics},
- year = 2015,
- volume = 20,
- number = 5,
- pages = {1--7},
- publisher = {IEEE}
- }
- , "On-the-fly control of unknown smooth systems from limited data", 2021 American Control Conference (ACC), 2021, pp. 3656-3663.
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Software & Data Downloads
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Videos
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MERL Issued Patents
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Title: "System and Method for Indirect Data-Driven Control Under Constraints"
Inventors: Vinod, Abraham; Mamakoukas, Giorgos; Di Cairano, Stefano
Patent No.: 12,124,241
Issue Date: Oct 22, 2024
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Title: "System and Method for Indirect Data-Driven Control Under Constraints"
